Development of an FBG Sensor Array for Multi-Impact Source Localization on CFRP Structures

Jiang, Mingshun; Sai, Yaozhang; Geng, Xu; Sui, Qingmei; Liu, Xiaohui; Jia, Lei

doi:10.3390/s16101770

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…Ciampa and Meo [9] proposed an improved trigonometry-based algorithm for impact localization in isotropic materials, which does not require the wave velocity but only the TOA. Some of the common methods for TOA estimation include threshold selection [10], wavelet transform [11][12][13], and cross-correlation [2,14,15]. In addition, beamforming [16] and the timereversal focusing technique [17] have been used for impact localization.…”

Section: Introductionmentioning

confidence: 99%

Error-Index-Based Algorithm for Low-Velocity Impact Localization

Peng

Cui

Huang

et al. 2022

Shock and Vibration

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Flat plates and cylindrical shells are commonly used in large equipment. To locate the low-velocity impact points in these structures, this study proposes an error-index-based algorithm for impact localization. The time of arrival of an impact-generated A0 Lamb waves was first estimated based on the energy of the signal. Equations for calculating the error indices were proposed for flat-plate and cylindrical shell structures, and the probability distribution functions of the impact points are constructed for visual localization. The impact test results on a flat plate and cylindrical shell indicated that, compared to the Morlet wavelet method, the proposed algorithm improved the mean relative error of impact point localization on the flat plate by 0.22%, 15.64%, and 15.26% under three different noise conditions, respectively (i.e., no noise, and SNR = 5 and 0 dB). For the cylindrical shell, the mean relative error of impact localization improved by 1.8%, 3.97%, and 28.12% under the three conditions, respectively. The results indicated that the proposed localization algorithm can accurately locate the impact points on a flat plate and cylindrical shell, even under strong background noise conditions, providing a reference for future research on locating low-velocity impact points in large equipment.

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Section: Introductionmentioning

confidence: 99%

Error-Index-Based Algorithm for Low-Velocity Impact Localization

Peng

Cui

Huang

et al. 2022

Shock and Vibration

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“…Tang [ 43 ] developed a new type of self-sensing fiber reinforced polymer (FRP) bar. In order to make better use of FRP, many new methods are provided for monitoring of FRP Structures [ 42 , 43 , 44 , 45 , 46 , 47 ]. Many experts and scholars also began to use FRP cloth to strengthen the mechanical properties of bamboo reconstituted wood.…”

Section: Introductionmentioning

confidence: 99%

AFRP Influence on Parallel Bamboo Strand Lumber Beams

Zhang

Corbi

et al. 2018

Sensors

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The mechanical properties of parallel bamboo strand lumber beams could be improved by aramid fiber reinforced polymer (AFRP). So far, no investigation has been conducted on the strengthening of engineering bamboo beams using AFRP. In order to study the efficiency of AFRP reinforcement on parallel bamboo strand lumber beams, 13 beams had been tested and analyzed. Strain gauges and Laser Displacement Sensors were used for the tests. By sensing the strain and deformation data for the specimens under the applied loads, the results showed that AFRP can effectively improve the flexural mechanical properties of parallel bamboo strand lumber beams. However, this reinforcement cannot increase the deflection of bamboo beams indefinitely. When the cloth ratio was 0.48, the deflection of the specimens reached its maximum. With the increase of cloth ratio, the stiffness of parallel bamboo strand lumber beams was increasing. When the cloth ratio reached 0.72%, compared with the un-reinforced specimen, the stiffness increased by 15%. Therefore, it can be inferred that bonding AFRP on the considered specimens can increase the stiffness of parallel bamboo strand lumber beams. The ductility of the specimen can be effectively enhanced by adopting the AFRP provision.

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“…It is very suitable for direct contact or indirect transmission in the process of signal monitoring [ 8 ]. The FBG sensor has the advantages of small volume, light weight, high reliability, high accuracy, anti-electromagnetic interference, long life, moisture proof and good resistance to causticity [ 9 , 10 , 11 , 12 , 13 , 14 ]. In particular, with the development of multiplex technology [ 15 ], FBG will have a broad application prospect.…”

Section: Introductionmentioning

confidence: 99%

Research on Strain Measurements of Core Positions for the Chinese Space Station

Shen

Zeng

Luo³

et al. 2018

Sensors

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The Chinese space station is designed to carry out manned spaceflight, space science research, and so on. In serious applications, it is a common operation to inject gas into the hull, which can produce strain of the bulkhead. Accurate measurement of strain for the bulkhead is one of the key tasks in evaluating the health condition of the space station. This is the first work to perform strain detection for the Chinese space station bulkhead by using optical fiber Bragg grating. In the period of measurements, the resistance strain gauge is used as the strain standard. The measurement error of the fiber optical sensor in the circumferential direction is very small, being less than 4.52 με. However, the error in the axial direction is very large with the highest value of 28.93 με. Because the measurement error of bare fiber in the axial direction is very small, the transverse effect of the substrate of the fiber optical sensor likely plays a role. The comparison of the theoretical and experimental results of the transverse effect coefficients shows that they are fairly consistent, with values of 0.0271 and 0.0287, respectively. After the transverse effect is compensated, the strain deviation in the axial detection is smaller than 2.04 με. It is of great significance to carry out real-time health assessment for the bulkhead of the space station.

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Development of an FBG Sensor Array for Multi-Impact Source Localization on CFRP Structures

Cited by 8 publications

References 18 publications

Error-Index-Based Algorithm for Low-Velocity Impact Localization

Error-Index-Based Algorithm for Low-Velocity Impact Localization

AFRP Influence on Parallel Bamboo Strand Lumber Beams

Research on Strain Measurements of Core Positions for the Chinese Space Station

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